Are We In The Midst of a Commercial Revolution in Geospatial?

Executive Summary

The geospatial industry is on the cusp of a major transformation, dubbed “Geospatial 2.0.” This evolution is characterized by the convergence of GIS and remote sensing technologies, the integration of AI and machine learning, and a shift in commercial strategies. This article explores the current state of the industry, the challenges it faces, and the opportunities that lie ahead for geospatial companies looking to accelerate their growth in this new era.

The Evolution of Geospatial Technology

The geospatial industry has undergone significant changes over the past few decades:

1. 1990s – 2000s: Transition from desktop to web-based GIS
2. Late 2000s – 2010s: Mobile revolution with GPS-enabled smartphones and tablets
3. Present day: Geospatial 2.0 – Integration of multidimensional data (2D, 3D, 4D) and AI automation

This latest phase, Geospatial 2.0, represents the most significant leap forward, building upon the foundations laid by previous technological advancements.

The Current State of the Geospatial Industry

Historically, the geospatial industry has been divided into two main sectors:

1. GIS (Geographic Information Systems): Primarily focused on 2D mapmaking and spatial analysis, often relying on software platforms like Esri.
2. Remote Sensing: Centered around data collection and processing, producing data products such as LiDAR point clouds for applications like vegetation management along power lines.

Many geospatial companies, particularly in the GIS sector, have operated as service providers, often partnering with platform vendors like Esri. On the remote sensing side, companies have primarily focused on selling data products.

The Emergence of Geospatial 2.0

Geospatial 2.0 is characterized by several key trends:

1. Mergers and Acquisitions: GIS and remote sensing companies are joining forces, as exemplified by a number of recent mergers. This integration brings together the “vehicle” (GIS platforms) and the “fuel” (remote sensing data).
2. Shift towards Product Development: Many service-oriented companies are now exploring product development to create new revenue streams.
3. AI and Machine Learning Integration: These technologies are automating processes and enabling new capabilities in both data processing and analysis.
4. Commercial Strategy Evolution: There’s a growing recognition of the need for better integration between sales, marketing, and product development teams.

Challenges in the Commercial Landscape

Despite technological advancements, many geospatial companies face commercial challenges:

1. Sales-Led Approach: Many companies still rely heavily on traditional sales techniques with limited marketing support.
2. Disconnected Teams: There’s often a lack of coordination between sales, marketing, and product development teams.
3. Product Development Issues: Many products fail to gain traction beyond the MVP stage due to insufficient commercial input during development.
4. Slow Adoption of New Technologies: Many geospatial companies are lagging in adopting tools like generative AI for marketing and sales.

The Path Forward: Integrating Commercial Strategies

To succeed in the Geospatial 2.0 era, companies need to focus on:

1. Breaking Down Silos: Fostering closer collaboration between sales, marketing, and product teams.
2. Product-Market Fit: Ensuring commercial perspectives are integrated into product development from the start.
3. Unified Storytelling: Developing consistent narratives that span the entire customer journey, from marketing to sales.
4. Embracing AI: Leveraging generative AI and machine learning not just for data processing, but also for marketing, sales, and product development.
5. Adapting Go-to-Market Strategies: Developing new approaches that align with the integrated nature of Geospatial 2.0 technologies.

Conclusion

The geospatial industry is at a pivotal moment. The technological foundations for Geospatial 2.0 are in place, but commercial strategies need to evolve to fully capitalize on these advancements. By breaking down internal silos, embracing new technologies like AI, and developing integrated go-to-market strategies, geospatial companies can position themselves for accelerated growth in this new era.

As the industry continues to mature, those companies that can effectively bridge the gap between technological innovation and commercial execution will be best positioned to lead in the Geospatial 2.0 landscape.

Art GenAI Marketers we are commercial geospatial experts, working with sales, marketing and product teams to drive growth.

Contact me Matt Sheehan at matt@genaimarketers.com for more information.